Unit I

Concept of sampling – Need for sampling – population and sample – sampling unit and sample frame – Types of Population – Basic properties of population – sample survey and census – Principal steps in a Sample survey – Notion of sampling error.

Unit II

Simple Random Sampling with and without replacement – Estimation of Population mean and proportion and their variances- Determination of sample size.

Unit III

Stratified sampling – Principles of stratification – Estimation of population mean and its variance – Allocation techniques – Estimation of gain due to stratification

Unit IV

Systematic sampling – Estimation of population mean and its sampling variance – Circular systematic sampling – comparison of systematic, simple random and stratified random sampling – cluster sampling with equal sized clusters – estimation of population mean and variance.

Unit V

Large scale sample surveys – Sources of Non sampling errors and methods of controlling them – NSS and CSO and their functions.

CO1: Understand principal steps in a sample survey and notion of sampling error
CO2: To understand estimation of population mean and proportion and their variance
CO3: To explain and to compare various allocations using stratified random sampling and systematic sampling
CO4: To draw a conclusion about the best sampling procedure. CO5: To apply various sampling methods for agricultural data

Text Books

• Singh D and Choudhary F.S. (1986): Theory and Analysis of Sample Survey and Designs, New Age International.

Books for Reference

1. Cochran, W.G. (1977): Sampling Techniques, 3/e, Wiley.
2. Desraj (2000): Sample survey theory, Narosa Publishing House.
3. Murthy M.N. (1967): Sampling theory and methods, Statistical Publishing society, Calcutta.
4. Sukhatme etal (1984): Sampling theory of surveys with applications, Iowa State University Press and IARS.
5. Sampath (2000): Sampling Theory and Methods, Narosa Publishing house